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Questions and Answers
What is the first step in creating a complete binary tree?
What is the first step in creating a complete binary tree?
In the process of heapifying a binary tree, which of the following is set as the initial largest element?
In the process of heapifying a binary tree, which of the following is set as the initial largest element?
To create a Max-Heap, which operation is performed on non-leaf nodes?
To create a Max-Heap, which operation is performed on non-leaf nodes?
Which statement is true about a Min-Heap structure?
Which statement is true about a Min-Heap structure?
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What action is taken when the largest element is not the root during heapify?
What action is taken when the largest element is not the root during heapify?
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Which operation is responsible for structuring a binary tree into a heap data structure?
Which operation is responsible for structuring a binary tree into a heap data structure?
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What is the relationship between a complete binary tree and the levels of elements?
What is the relationship between a complete binary tree and the levels of elements?
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What does the array index for the left child of a node at index i represent?
What does the array index for the left child of a node at index i represent?
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What is the primary purpose of the function 'find_data(int item)' in the circular linked list?
What is the primary purpose of the function 'find_data(int item)' in the circular linked list?
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How does the function 'delete-first()' accomplish the deletion of the first node in a circular linked list?
How does the function 'delete-first()' accomplish the deletion of the first node in a circular linked list?
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In the provided program, what will be printed if 'find_data(56)' is called?
In the provided program, what will be printed if 'find_data(56)' is called?
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Which of the following describes one way to delete a node in a circular linked list?
Which of the following describes one way to delete a node in a circular linked list?
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What happens to the linked list if 'current->next' never points to 'head' in the 'find_data' function?
What happens to the linked list if 'current->next' never points to 'head' in the 'find_data' function?
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What is indicated by the line 'link->next = head;' when inserting a new node?
What is indicated by the line 'link->next = head;' when inserting a new node?
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What would be the output format of the program before deletion?
What would be the output format of the program before deletion?
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What type of linked list operations is described as involving deletion at specific positions?
What type of linked list operations is described as involving deletion at specific positions?
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What does the 'next' field in a singly linked list node represent?
What does the 'next' field in a singly linked list node represent?
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Which of the following correctly describes how to insert a node at the beginning of a singly linked list?
Which of the following correctly describes how to insert a node at the beginning of a singly linked list?
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Which statement about a circular linked list is accurate?
Which statement about a circular linked list is accurate?
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What happens to the 'head' pointer when a new node is inserted at the beginning of a singly linked list?
What happens to the 'head' pointer when a new node is inserted at the beginning of a singly linked list?
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Which of the following is a key characteristic of a doubly linked list?
Which of the following is a key characteristic of a doubly linked list?
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In the C programming structure definition for a singly linked list node, which line allocates memory for a new node?
In the C programming structure definition for a singly linked list node, which line allocates memory for a new node?
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What is the purpose of the 'printList()' function in the linked list implementation?
What is the purpose of the 'printList()' function in the linked list implementation?
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Which type of linked list allows for both forward and backward traversal?
Which type of linked list allows for both forward and backward traversal?
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What is the primary characteristic of a priority queue?
What is the primary characteristic of a priority queue?
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What is the main distinction when creating a circular linked list compared to a singly linked list?
What is the main distinction when creating a circular linked list compared to a singly linked list?
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In a descending priority queue, which element can be removed?
In a descending priority queue, which element can be removed?
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Which data structure is most efficient for implementing a priority queue?
Which data structure is most efficient for implementing a priority queue?
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Which function is key for traversing a circular linked list effectively?
Which function is key for traversing a circular linked list effectively?
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Which of the following statements accurately describes a complete binary tree?
Which of the following statements accurately describes a complete binary tree?
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What does the insert function do when the head of the circular linked list is NULL?
What does the insert function do when the head of the circular linked list is NULL?
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In the context of heap data structures, what does the max heap property ensure?
In the context of heap data structures, what does the max heap property ensure?
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What is the condition for the do-while loop in the linkedListTraversal function to stop?
What is the condition for the do-while loop in the linkedListTraversal function to stop?
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Which of the following operations is NOT typically supported by a priority queue?
Which of the following operations is NOT typically supported by a priority queue?
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What is the purpose of the linkedListTraversal function?
What is the purpose of the linkedListTraversal function?
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What happens after the while loop in the insert function?
What happens after the while loop in the insert function?
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What is typically true about elements in a priority queue with the same priority?
What is typically true about elements in a priority queue with the same priority?
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How does an ascending priority queue handle element removal?
How does an ascending priority queue handle element removal?
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Why is it said that traversal operations in a circular linked list are similar to those in a linear linked list?
Why is it said that traversal operations in a circular linked list are similar to those in a linear linked list?
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What will happen if the circular linked list is not properly constructed?
What will happen if the circular linked list is not properly constructed?
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What is a key feature of a linked list compared to an array?
What is a key feature of a linked list compared to an array?
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How does a linked list maintain the relationship between elements?
How does a linked list maintain the relationship between elements?
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What operation is primarily used to add an element into a linked list?
What operation is primarily used to add an element into a linked list?
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Which of the following is NOT a limitation of arrays addressed by linked lists?
Which of the following is NOT a limitation of arrays addressed by linked lists?
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In which scenario would a linked list be a more suitable data structure than an array?
In which scenario would a linked list be a more suitable data structure than an array?
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What is a common application of linked lists?
What is a common application of linked lists?
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Which type of memory allocation is unique to linked lists?
Which type of memory allocation is unique to linked lists?
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Why is it difficult to resize an array in use?
Why is it difficult to resize an array in use?
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Study Notes
Lab Manuals
- Covering data structures and algorithms
- Prepared by Prof. Noureldien A. Noureldien
- Dated October 2024
Table of Contents
- Lists various lab topics and associated pages
- Includes topics such as Linked Lists (singly and circular), Stacks, Queues, Priority Queues, Searching, Sorting (Bubble, Insertion, Selection), Hashing, and Programming Problems.
Lab (1): Linked Lists - Singly Linked List
- Definition: A linked list is a linear collection of finite homogeneous data elements called nodes. The order is maintained by links or pointers.
- Each element is stored separately called 'node' in memory.
- List structure created by pointers that connect all nodes together.
- Unlike arrays, linked list memory allocation is dynamic.
- Applications include: representing polynomials and sparse matrices; implementing various data structures like stacks, queues, trees, etc; implementing dynamic memory allocation at runtime.
Lab (1): Linked Lists – Circular Linked Lists
- Linked list where the last element points to the first element forming a circular chain.
- No node points to NULL (no end node).
- Operations similar to singly linked lists, but maintain an extra pointer.
Lab (1): Description
- Demonstrate linked lists to solve problems.
- Define linked lists, compare them to arrays, differentiate between different types, and write C codes to manipulate them.
- Instructors' tasks include demonstrating C implementation, explaining concepts, and guiding students during coding and execution.
Lab (1): Representation of a Linked List
- Visual representation of how linked list nodes (data and pointers) are interconnected for a given set of data.
Lab (1): Why use Linked Lists Over Arrays?
- Addresses limitations of arrays regarding fixed size and time-consuming resizing.
- Lists allow dynamic memory allocation for nodes, avoiding the need to shift data for insertions and deletions.
Lab (1.4): Applications of Linked Lists
- Can represent polynomials
- Represent sparse matrices
- Implement stacks, queues, trees, and other data structures
- Implemented for dynamic memory allocation
Lab (1.5): Operations Performed on Linked Lists
- Described as insertion, deletion, display, search.
Lab (2): Linked Lists - Circular Linked Lists
- Definition: A circular linked list is a linked list where the last element points to the first (head), creating a circular chain.
- There's a head pointer, but no starting or ending pointer.
- Traversal, insertion, deletion, and other operations similar to singly linked lists.
Lab (2.1): Circular Linked List
- Definition: A circular linked list is a linked list where the last node points to the first.
- This creates a circular chain, eliminating a NULL pointer at the end.
Lab (2.2): Operations on Circular Linked Lists
- Traversal (starting from the head and traversing until the head is reached).
- Other operations similar to the singly linked list logic.
Lab (2.3): Creating a Circular Linked List
- Steps to create a circular list involve creating nodes and connecting the last node to the first.
Lab (2.1.1): Traversing
- Pointer starts at the head, visits each node, and returns to the head.
Lab (2.4/Exercise 1): Searching a Circular Linked List
- Basic steps to search a circular linked list for an element.
Lab (3): Stacks
- A stack data structure follows the LIFO (Last-In, First-Out) principle.
- Operations involve pushing (adding) elements to the top of the stack and popping (removing) elements from the top.
Lab (3.1): Introduction
- Stack is a sequential data structure.
- Insertion and deletion at the same end.
- Useful in real life (e.g. a stack of books).
- LIFO (Last-In, First-Out) order.
- Top is the most frequently accessed element
Lab (3.2): Operations
- Described as creation, is-empty, is-full, insertion(push), deletion (pop), and peek (not removing element)
Lab (3.3): Stack Implementation with Arrays
- Uses arrays with a defined fixed size to store stack elements.
- Efficient due to contiguous allocation.
Lab (3.4): Stack Insertion (push)
- Algorithm for adding to the stack.
- Checks if stack is full, exiting if true.
- Increments top pointer, inserting data where needed.
- Returns success.
Lab (3.5): Stack Deletion (pop)
- Data retrieved from top location of the stack, when stack is not empty.
- Decrements top pointer.
- Returns the data.
Lab (3.6): Peek
- Data retrieval from the stack's top without removal.
Lab (4): Queues
- Definition: A queue follows the FIFO (First-In, First-Out) principle.
- Elements enter at the rear and exit from the front.
Lab (4.1): Linear/FIFO Queues
- Queue operations are insert at the rear (enqueue), delete from the front (dequeue), check emptiness, and check fullness.
Lab (4.2): Queue-Array Operations
- Algorithm operations such as, creation, isEmpty, isFull, insertAtRear, deleteFromFront, peek.
Lab (4.3): Queue-Array Implementation
- Uses arrays for queue implementation,
- Rear & front indices keep track of last insert & last delete position.
Lab (4.4): Circular Queue
- Circular queue is a queue that has elements linked in a circular manner which follow the FIFO (First in, First Out) principle.
- Different operations for a circular queue.
Lab (4.5): Dequeue Operation
- Algorithm to remove an element from the front of the circular queue.
Lab (4.6): Enqueue Operation
- Steps for inserting an element at rear of a circular queue.
Lab (5): Priority Queues
- Priority queue elements are arranged by priority and deleted according to priority.
Lab (5.1): Introduction
- Priority queue is a data structure
- Elements are inserted arbitrarily but only the element with the highest priority can be removed (descending priority queue).
Lab (5.2): Priority Queue Operations
- Operations on priority queues include insert, peek, and extract maximum
Lab (5.3): Implementation of Priority Queue as a Heap
- Priority queue can be implemented using different data structures.
- A Heap is a complete binary tree where the value of each node is greater than or equal to the values of its children.
- A Heap data structure is an efficient implementation for priority queues.
Lab (5.4): Heap Data Structure
- Complete binary tree satisfies the heap property.
Lab (5.5): Complete Binary Tree
- A binary tree where all levels are completely filled except possibly the lowest one, which is filled from left to right.
- Complete binary trees can also be used to implement priority queues.
Lab (6): Searching
- Discusses linear and binary search algorithms.
- Searching algorithm steps and methods.
Lab (7): Bubble Sort
- Describes algorithms for arranging data in an ascending or descending order
- Implementation steps for bubble sort
Lab (8): Insertion and Selection Sort
- Sorting algorithms for arranging numbers in ascending or descending order.
Lab (8.1): Insertion Sort
- Description of the algorithm steps.
- How the algorithm works via an example (shows the step by step process of sorting an array of integers using insertion sort).
Lab (8.2): Selection Sort
- Explanation of the algorithm logic
- Step-by-step demonstration using an Example (how it works)
Lab (9): Hashing
- Discusses hashing, including its operations (insertion, deletion, and searching), algorithms, and their advantages/disadvantages.
Lab (9.1): Hash functions
- Hash functions map keys to addresses within a structure like arrays (hash table).
- Criteria for a suitable hash function: easy to compute and uniform distribution of hash addresses to minimize collisions.
Lab (12): Programming Problems
- Contains programming problems related to linked lists, like deleting a middle node.
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Test your knowledge on heaps and circular linked lists with this quiz. Questions cover the properties, operations, and functions related to these essential data structures. Perfect for students and enthusiasts looking to deepen their understanding of binary trees and linked lists.